Skip to main navigation
Skip to search
Skip to main content
University of Huddersfield Research Portal Home
Help & FAQ
Link opens in a new tab
Search content at University of Huddersfield Research Portal
Home
Profiles
Research units
Research output
Activities
Projects
Press/Media
Datasets
Student theses
PaX-DBSCAN: A proposed algorithm for improved clustering
Grace Samson, Zhongyu Lu
Department of Computer Science
School of Computing and Engineering
Centre for Planning, Autonomy and Representation of Knowledge
Research output
:
Contribution to journal
›
Article
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'PaX-DBSCAN: A proposed algorithm for improved clustering'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Index Structure
100%
Improved Clustering
100%
Density-based Spatial Clustering of Applications with Noise (DBSCAN)
100%
X-tree
100%
Spatial Database
50%
Information Retrieval
50%
Spatial Indexing
50%
Complex Query
50%
Information Processing
50%
DBSCAN Clustering Algorithm
50%
Bulk Loading
50%
Parallel Algorithm
50%
Parallel Computing Techniques
50%
Non-traditional Data
50%
Database Management Systems
50%
Computer Science
Database Systems
100%
Information Retrieval
50%
Clustering Algorithm
50%
Data Type
50%
Spatial Database
50%
Index Structure
50%
Parallel Computer
50%
Information Processing
50%
Nontraditional Data
50%
Parallel Algorithm
50%